Retrieval-Augmented In-Context Learning for Domain Adaptation
DAICL: a retrieval-augmented in-context learning framework for unsupervised domain adaptation that retrieves target examples and jointly optimizes task and LM.
DAICL: a retrieval-augmented in-context learning framework for unsupervised domain adaptation that retrieves target examples and jointly optimizes task and LM.
Overview of voice recognition chips and Bluetooth features, comparing WTK6900HA8 and WTK6900HC with power, BLE/audio modes and application guidance.
PanopticNeRF-360 uses coarse 3D annotations and NeRF-based joint geometry-semantic optimization to synthesize RGB images and panoptic segmentation from novel views.
Integrating Gitee MCP with Java using LangChain4j to build a Spring Boot AI repository assistant, demonstrating stdio and SSE transport modes.
Technical overview of probability distributions for urban research, explaining random variables and density functions (PMF, PDF, CDF) and common discrete cases like Bernoulli.
Examines the 2025 surge in large models after DeepSeek R1, detailing application value beyond chat and four key elements: domain expertise, knowledge base, agents, and engineering.
Run KleidiAI matmul microkernel on bare metal and compare Arm toolchains (AC6, GCC, ATfE) with cycle-count benchmarks and compiler optimization analysis.
Overview of intelligent video analytics (IVA), deployment scenarios and why edge computing and industrial computers enable low-latency, secure real-time video AI.
Tsinghua study analyzes implicit harmful content in LLMs, showing how SFT and RLHF can induce subtle abusive outputs that evade harmful-content detectors.
Siemens Digital Industries white paper on AI in electronic systems design, exploring AI methods and applications for PCB design, component selection, layout and verification.
Evaluation of VLMs on visual deductive reasoning using Raven's Progressive Matrices (RPMs); analyzes perception bottlenecks, prompt effects, and error modes.
Dr. Mao Yang examines how computer systems must evolve - ultra-large-scale computing, cloud redesign, and distributed systems - to support large models and next-gen AI
Scale scaling (S2): run pretrained frozen vision models at multiple image resolutions to produce multi-scale representations, matching larger models on visual tasks.
Technical overview of smart pharmacy vending machines using an i.MX8M Plus carrier board: hardware, 2.3 TOPS NPU, connectivity, I/O, displays, storage, and OS support.
Overview of deep learning fundamentals and a TensorFlow 2 handwritten digit recognition demo, covering neurons, activation/loss functions, CNNs, training, and prediction.
Guide to deploying the DeepSeek LLM on Intel Arc platforms: hardware, BIOS, Ubuntu 24.10, Arc B580 drivers and OpenVINO setup to validate model inference.
Programmer's account of using large language models to accelerate Python one-off scripts and ONNX model interpretation, and limits in systems programming.
Technical overview of a modular, safety-focused bionic robotic hand integrating ROS, cable-driven mechanics, multi-modal sensing and AI-based control for adaptive manipulation.
Technical overview of an interactive guide robot for campus history museums: SLAM-based navigation, multi?mic voice interaction, modular chassis and AI-driven commentary.
TDK's spin photodetector using MTJ magnetic elements enables wide-spectrum, ultra-fast optical detection and flexible PIC integration for high-speed links.